AI vs. Social Media: A New Era of Truth The dominant perception of AI as a threat contrasts with its potential as a truth-aligned technology. Unlike social media, which monetizes engagement regardless of truth, AI's revenue model is based on accuracy and utility, fostering accountability. This creates a crucial economic incentive for AI companies to prioritize truthfulness, reducing misinformation risks.

AI vs. Social Media: A New Era of Truth

The dominant perception of AI as a threat contrasts with its potential as a truth-aligned technology. Unlike social media, which monetizes engagement regardless of truth, AI's revenue model is based on accuracy and utility, fostering accountability. This…

Prune Your AI Portfolio for Better Results Many enterprises face an overgrown AI portfolio, marked by numerous initiatives with little return on investment. Effective pruning—identifying, evaluating, and redirecting resources—is crucial for future success. Organizations that proactively manage their AI projects rather than reactively cancel them will be better positioned for real value creation by 2026.

Prune your #AI portfolio for better results

Understanding AI Literacy vs. Prompt Engineering Organizations focused on AI literacy often conflate prompt engineering with true understanding. Prompt engineering teaches tool fluency, while AI literacy encompasses critical evaluation and appropriate application of AI. Genuine AI literacy requires structured reflection, domain knowledge, and ongoing learning, leading to better decision-making and more valuable outcomes in AI integration.

Understanding AI Literacy vs. Prompt Engineering

Organizations focused on AI literacy often conflate prompt engineering with true understanding. Prompt engineering teaches tool fluency, while AI literacy encompasses critical evaluation and appropriate application of AI. Genuine AI literacy…

Overcoming Pilot Hell in Enterprise AI Every enterprise AI program starts with a pilot. That's not the problem. The problem is what happens next: the pilot succeeds—technically and inspirationally—and then nothing moves. A second pilot gets approved. Then a third. Eighteen months later, the organization has a portfolio of successful experiments and zero production systems. Welcome to AI "Pilot Hell". What Pilot Hell Actually Costs The direct costs are easy to dismiss because they are generally negligible - a few cloud credits, some consultant hours, a part-time internal team.

Overcoming Pilot Hell in Enterprise #AI

The Risks of AI in Prescriptive Decision Making Every generation of analytics has increased our ability to raise productivity. Descriptive systems revealed what had already happened. Predictive models extended that visibility into what might happen next. Today’s prescriptive systems go a step further still, making decisions and sometimes even actioning them - routing supply chains, approving credit, allocating resources, and prioritizing traffic flow or emergency response. Predictive modeling has transformed…

The Risks of AI in Prescriptive Decision Making

Every generation of analytics has increased our ability to raise productivity. Descriptive systems revealed what had already happened. Predictive models extended that visibility into what might happen next. Today’s prescriptive systems go a step…

Building Trust in AI Governance AI governance often faces negative perceptions, seen as a hindrance to innovation rather than a necessity for scaling. Trust in AI initiatives erodes due to unclear accountability and inconsistent outputs. Effective governance clarifies ownership, defines risks, and ensures transparency, fostering faster decision-making and sustained trust essential for AI's success.

Building Trust in #AI Governance

Why Data Readiness is Crucial for AI Success Many organizations struggle with AI initiatives due to inadequate data readiness, largely a result of ownership, quality, and context issues. Effective AI requires explicit standards and accountability, treating data as a product. Leaders should prioritize understanding data responsibility over merely assessing data quality to leverage AI effectively.

Why Data Readiness is Crucial for #AI Success

Navigating AI’s Impact on Workplace Roles Much of the public conversation around AI and work is framed as a binary choice:humans versus machines. That framing misses what is actually happening inside organizations. AI is not eliminating work wholesale.It is exposing roles that were never clearly defined to begin with. The Problem Isn’t Job Loss — It’s Role Ambiguity In many organizations, roles have evolved informally over time:

#AI Isn’t Replacing Jobs — It’s Replacing Undefined Roles

Fixing Workflows: The Key to Successful AI Implementation AI initiatives often fail due to poorly defined workflows rather than technical issues. Many organizations mistakenly assume decision-making is clear and inputs are consistent, which is rarely the case. To succeed, clarity in processes, decision ownership, and input standardization must be established before integrating AI, ensuring it adds value rather than complicates operations.

#AI is incredibly powerful technology, but building capability is not a technology problem

Why Most #AI Budgets Fail Before Model Selection By the time most organizations start debating models, platforms, or vendors, the AI initiative has already failed. Not technically.Structurally. The failure happens earlier—during budgeting. In 2026, AI failure is less about choosing the wrong technology and more about funding AI as if it were a traditional IT project. The Hidden Assumption Behind Most AI Budgets Most AI budgets assume:

Why Most #AI Budgets Fail Before Model Selection

By the time most organizations start debating models, platforms, or vendors, the AI initiative has already failed. Not technically.Structurally. The failure happens earlier—during budgeting. In 2026, AI failure is less about choosing the wrong…

AI Resolutions That Actually Matter in 2026 Every January, organizations make bold AI resolutions: “We’re going to be AI-first.” “We’re rolling out copilots everywhere.” “This is the year we scale AI.” And every December, many of those same organizations quietly admit that very little changed. Not because the technology failed—but because the resolutions were disconnected from execution. As we enter 2026, the gap between AI ambition and…

AI Resolutions That Actually Matter in 2026

Every January, organizations make bold AI resolutions: “We’re going to be AI-first.” “We’re rolling out copilots everywhere.” “This is the year we scale AI.” And every December, many of those same organizations quietly admit that very little changed. Not…

#AI isn't magic. It's clarity.

Your ideas are assets. Protect your edge. #AI

Technology should amplify your imagination, not replace it. #AI

Speed without care is risky; trust and credibility require focused attention. #AI

Cloudflare explains Tuesday’s outage that temporarily took down ChatGPT It wasn’t DNS?

Cloudflare explains Tuesday’s outage that temporarily took down ChatGPT

#AI learns from the data it’s given — and that data can reflect bias. Always review with a critical eye.

#AI is evolving fast—don’t wait for perfect. Test, tweak, and learn as you go.

The Two Infrastructures of the Digital Age: Trust vs. Control 🌐 The Internet and the Cellular Network: Same Goal, Opposite Philosophies The world runs on two vast digital infrastructures: the Internet and the cellular network. Both connect billions of people. Both move unimaginable amounts of data. And yet — they were born from completely different ideas about human nature. The Internet was designed by academics and engineers who believed that openness would unleash innovation.

The Two Infrastructures of the Digital Age: Trust vs. Control

🌐 The Internet and the Cellular Network: Same Goal, Opposite Philosophies The world runs on two vast digital infrastructures: the Internet and the cellular network. Both connect billions of people. Both move unimaginable amounts of…

Be mindful what data you share with #AI. Privacy is control.

Blurry questions lead to blurry answers. Prompt clearly, see clearly. #AI

#AI can make mistakes. Keep a human in the loop. #HITL

#AI can be overwhelming. Start small, scale later.

Don't be fooled by technology that seems simple (like AI)...https://tellaire.com/2025/09/14/the-apple-effect/

The Apple Effect How making technology invisible has transformed work — for good and for bad Usability and Simplicity at the Core Few companies in the history of technology have had as profound an influence on how we interact with digital tools as Apple. From the original Macintosh in 1984 to the iPhone in 2007 and beyond, Apple has repeatedly demonstrated that usability, simplicity, and design elegance matter just as much as raw technical capability.

The Apple Effect

How making technology invisible has transformed work — for good and for bad Usability and Simplicity at the Core Few companies in the history of technology have had as profound an influence on how we interact with digital tools as Apple. From the original Macintosh in 1984 to the…

🛰️ Prime Directives for AI: Why the Time is Now When Gene Roddenberry imagined Starfleet’s Prime Directive — “non-interference with developing civilizations” — it was a rule designed to keep power in check. When Isaac Asimov gave his robots the Three Laws, he wasn’t just writing pulp sci-fi — he was sketching blueprints for ethical machines. Today, as Artificial Intelligence evolves at lightspeed, those fictional directives feel less like fantasy and more like a mirror held up to us.

🛰️ Prime Directives for AI: Why the Time is Now

When Gene Roddenberry imagined Starfleet’s Prime Directive — “non-interference with developing civilizations” — it was a rule designed to keep power in check. When Isaac Asimov gave his robots the Three Laws, he wasn’t just writing pulp sci-fi — he…

🎧 Vibe Coding: Aesthetic Flow or Architectural Risk? “I built a working prototype in four hours, with lo-fi beats in the background and no meetings to interrupt me. That’s vibe coding.” In the evolving world of software development, new p…

Developers have been seeking less meetings and more hands on the keyboard for decades #vibecoding tellaire.com/2025/07/10/%...

I interviewed the VP of glasses at Meta, which just announced a new design with Oakley.

We discussed the first meeting he had with new AI chief Alexandr Wang, how people are using the Meta Ray-Bans, the current status of AR glasses, and more. www.theverge.com/command-line...

#AI is challenging traditional #QA to rethink deterministic outcomes in software engineering, read more at tellaire.com/2025/06/20/h...

AI and the New “Conference Room Pilot” Before AI, teams used Conference Room Pilots (CRPs) to rapidly prototype and validate new software or digital processes. A CRP is a controlled, hands-on trial of a proposed system—often just a mini…

Create digital prototypes in minutes, not weeks. tellaire.com/2025/05/14/a... #AI